AI Research Manager - Machine Learning

Nubank·USA, Palo Alto·onsite
crypto:applicationquant-researchM2Data Scientist
Compensation
Not disclosed
AI Research Manager About Nubank Nubank is one of the world's largest digital financial services platforms, recognized by Time 100, Fast Company, and Forbes for leading an industry transformation. Driven by our mission to fight complexity and empower more than 130 million customers, we leverage data and proprietary technology to build the future of financial services. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. We are executing an AI-first transformation. The AI Core Research team owns Nubank's forward-looking research agenda: the foundational capabilities that compound into long-term advantage rather than incremental wins. The quality of this team directly shapes whether we lead or follow over the next 24 months. About the role As AI Research Manager , you will own the operating health and execution of Nubank's ML research agenda. This is a dedicated people-management role for a small, high-talent-density team of world-class researchers, partnering closely with senior technical leads who drive the scientific direction. The team works on a portfolio of research bets on a one-to-four-quarter horizon. This work compounds into the production capabilities Nubank will depend on. Current and upcoming bets include: Next-generation nuFormer architectures: proprietary transformers that learn from raw transaction sequences and power key production credit decisions Multitask and multi-target modeling: single models serving many high-impact prediction tasks at once Training and inference efficiency: distillation, quantization, sparsity, and parallelism to run state-of-the-art models economically at our scale Causal modeling and policy optimization: moving beyond prediction to the decisions and policies those predictions should drive World models: open-ended models that reason about a customer's full financi